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Schemahandläggare redigerade 15 augusti 2013
[u'TIVNM2', u'X4X']
Schemahandläggare redigerade 31 augusti 2013
[u'TIVNM2', u'X4X']
Schemahandläggare redigerade 14 september 2013
[u'TIVNM2', u'X4X']
Schemahandläggare ställde in händelsen 14 december 2013
Schemahandläggare redigerade 17 december 2012
L51M33
Lärare Arne Leijon redigerade 22 augusti 2012
TentamenEXAM
Schemahandläggare redigerade 5 oktober 2012
D32, D33, D42
Lärare Arne Leijon redigerade 22 augusti 2012
FöreläsningLecture
Classifier applications. Automatic speech recognition.¶
Lärare Arne Leijon redigerade 22 augusti 2012
Classifier applications. AutomaticMachine vs. human speech recognition.
Lärare Arne Leijon redigerade 22 augusti 2012
LectureClassifier applications
Classifier applications. Machine vs. human speech recognition.
Lärare Arne Leijon redigerade 28 september 2012
Classifier applicationsApproximate Bayesian Learning
Machine vs. human speech recognitionVariational Inference. NOTE: additional printed material will be distributed.
Lärare Arne Leijon redigerade 28 september 2012
Variational Inference.¶
NOTE: additionalBook Ch. 9 will be distributed as supplementary printed material, and will be distributedalso be available for download from the Literature page.
Lärare Arne Leijon redigerade 28 september 2012
Variational Inference.
NOTE: Book Ch. 9 will be distributed as supplementary printed material, and will also be available for download from the Literature page.
Lärare Arne Leijon redigerade 2 oktober 2012
Variational Inference.
NOTE: Book Ch. 9 will beis distributed as supplementary printed material, and will also be available for download.t the exercise meeting Tuesday Oct 2.¶
You can also get a free printed copy at STEX, Osquldas väg 10, if you show the compendium you bought there, or download an electronic copy here:¶
Pattern Recognition --- Supplement
Arne Leijon redigerade 20 augusti 2012
EN2202 Course Literature The course compendium is sold at KTH-EE/STEX, Osquldas väg 10, for 150 SEK. All other required material is available on the course web page.
Required Reading
* Arne Leijon & Gustav Eje Henter. Pattern Recognition. KTH-Sound and Image Processing, 20112.
Reference Literature Bishop, CM. Pattern Recognition and Machine Learning. New York: Springer, 2006.
Theodoridis, S & Koutroumbas, K. Pattern Recognition (3rd ed.) Elsevier, 2006.
Duda RO, Hart PE, and Stork DG. Pattern Classification. 2nd Ed. New York: Wiley, 2001.
Rabiner LR, Juang B-H. Fundamentals of Speech Recognition. Englewood Cliffs, NJ: Prentice-Hall, 1993.
Lee, Song, Paliwal, eds. Automatic speech and speaker recognition — Advanced topics. Kluwer Academic Publ., 1996.
Rabiner LR. A tutorial on hidden Markov models and selected applications in speech recognition. Proc IEEE 1989;77:257-286.
Bilmes JA. A gentle tutorial of the EM algorithm and its application to parameter estimation for Gaussian mixture and hidden Markov models. Berkeley, CA: Int. computer science institute (ICSI), 1998.
* KTH-EE/STEX
Arne Leijon redigerade 13 september 2012
EN2202 Course Literature The course compendium is sold at KTH-EE/STEX, Osquldas väg 10, for 150 SEK.
All other required material is available on the course web page.
Required Reading
* Arne Leijon & Gustav Eje Henter. Pattern Recognition. KTH-Sound and Image Processing, 2012.
* Pattern Recognition --- CorrectionsCorrections of some minor typos. Many thanks to student who discovered the errors.
Reference Literature Bishop, CM. Pattern Recognition and Machine Learning. New York: Springer, 2006.
Theodoridis, S & Koutroumbas, K. Pattern Recognition (3rd ed.) Elsevier, 2006.
Duda RO, Hart PE, and Stork DG. Pattern Classification. 2nd Ed. New York: Wiley, 2001.
Rabiner LR, Juang B-H. Fundamentals of Speech Recognition. Englewood Cliffs, NJ: Prentice-Hall, 1993.
Lee, Song, Paliwal, eds. Automatic speech and speaker recognition — Advanced topics. Kluwer Academic Publ., 1996.
Rabiner LR. A tutorial on hidden Markov models and selected applications in speech recognition. Proc IEEE 1989;77:257-286.
Bilmes JA. A gentle tutorial of the EM algorithm and its application to parameter estimation for Gaussian mixture and hidden Markov models. Berkeley, CA: Int. computer science institute (ICSI), 1998.
* KTH-EE/STEX
Arne Leijon redigerade 26 september 2012
EN2202 Course Literature The course compendium is sold at KTH-EE/STEX, Osquldas väg 10, for 150 SEK.
All other required material is available on the course web page.
Required Reading
* Arne Leijon & Gustav Eje Henter. Pattern Recognition. KTH-Sound and Image Processing, 2012.
* Pattern Recognition --- CorrectionsCorrections of some minor typos. Many thanks to student who discovered the errors.
Reference Literature Bishop, CM. Pattern Recognition and Machine Learning. New York: Springer, 2006.
Theodoridis, S & Koutroumbas, K. Pattern Recognition (3rd ed.) Elsevier, 2006.
Duda RO, Hart PE, and Stork DG. Pattern Classification. 2nd Ed. New York: Wiley, 2001.
Rabiner LR, Juang B-H. Fundamentals of Speech Recognition. Englewood Cliffs, NJ: Prentice-Hall, 1993.
Lee, Song, Paliwal, eds. Automatic speech and speaker recognition — Advanced topics. Kluwer Academic Publ., 1996.
Rabiner LR. A tutorial on hidden Markov models and selected applications in speech recognition. Proc IEEE 1989;77:257-286.
Bilmes JA. A gentle tutorial of the EM algorithm and its application to parameter estimation for Gaussian mixture and hidden Markov models. Berkeley, CA: Int. computer science institute (ICSI), 1998.
* KTH-EE/STEX
Lärare Arne Leijon redigerade 22 augusti 2012
Probabilistic classification theory. Linear discriminant functions. Book Ch. 3.3 - 3.7.¶
Lärare Arne Leijon redigerade 22 augusti 2012
FöreläsningLecture
Probabilistic classification theory. Linear discriminant functions. Book Ch. 3.3 - 3.78.
Lärare Arne Leijon redigerade 22 augusti 2012
LectureProbabilistic classification theory
Probabilistic classification theory. Linear discriminant functions. Book Ch. 3 - 3.8.
Lärare Arne Leijon redigerade 22 augusti 2012
Probabilistic cClassification tTheory
Lärare Arne Leijon redigerade 28 augusti 2012
Classifier decision criteria. Special case: Linear discriminant functions. Book Ch. 3 - 3.8.
Lärare Arne Leijon redigerade 4 september 2012
Classifier decision criteria. Special case: Linear discriminant functions. Book Ch. 3 - 3.8. HMM sub-types. Book Ch. 5- 5.3. ¶
HMM subsets
Lärare Arne Leijon redigerade 22 augusti 2012
RedovisningProject Demo: Group C
System Demonstration. Book Ch. A.5. Prepare a presentation of your classifier for the live demonstration.¶
Lärare Arne Leijon redigerade 22 augusti 2012
Project Demopresentation: Group C
Lärare Arne Leijon redigerade 22 augusti 2012
Project pPresentations: Group C
Lärare Arne Leijon redigerade 5 oktober 2012
Project Presentations: Group C
Lärare Arne Leijon redigerade 22 augusti 2012
Redovisning Group B
System Demonstration. Book Ch. A.5. Prepare a presentation of your classifier for the live demonstration.¶
Lärare Arne Leijon redigerade 22 augusti 2012
RedovisningProject presentation: Group B
Lärare Arne Leijon redigerade 22 augusti 2012
Project pPresentations: Group B
Lärare Arne Leijon redigerade 5 oktober 2012
Project Presentations: Group B
Lärare Arne Leijon redigerade 22 augusti 2012
Redovisning Group A
System Demonstration. Book Ch. A.5. Prepare a presentation of your classifier for the live demonstration.¶
Lärare Arne Leijon redigerade 22 augusti 2012
RedovisningProject presentation: Group A
Lärare Arne Leijon redigerade 22 augusti 2012
Project pPresentations: Group A
Lärare Arne Leijon redigerade 5 oktober 2012
Project Presentations: Group A